Overview

Brought to you by YData

Dataset statistics

Number of variables14
Number of observations1604
Missing cells3385
Missing cells (%)15.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory175.6 KiB
Average record size in memory112.1 B

Variable types

Numeric5
Text6
Categorical2
DateTime1

Alerts

contract_time has constant value "full_time" Constant
id is highly overall correlated with job_idHigh correlation
job_id is highly overall correlated with idHigh correlation
latitude has 1067 (66.5%) missing values Missing
longitude has 1067 (66.5%) missing values Missing
contract_time has 1251 (78.0%) missing values Missing
id has unique values Unique
job_id has unique values Unique
redirect_url has unique values Unique

Reproduction

Analysis started2025-12-20 02:29:39.782127
Analysis finished2025-12-20 02:29:41.452827
Duration1.67 second
Software versionydata-profiling vv4.12.2
Download configurationconfig.json

Variables

id
Real number (ℝ)

High correlation  Unique 

Distinct1604
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2337.053
Minimum1
Maximum5623
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2025-12-20T03:29:41.498267image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile87.15
Q1568.25
median2202.5
Q33869.75
95-th percentile5239.55
Maximum5623
Range5622
Interquartile range (IQR)3301.5

Descriptive statistics

Standard deviation1760.5258
Coefficient of variation (CV)0.75331019
Kurtosis-1.2757392
Mean2337.053
Median Absolute Deviation (MAD)1656
Skewness0.27104418
Sum3748633
Variance3099451.2
MonotonicityNot monotonic
2025-12-20T03:29:41.536651image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
3196 1
 
0.1%
3238 1
 
0.1%
3236 1
 
0.1%
3231 1
 
0.1%
3220 1
 
0.1%
3218 1
 
0.1%
3217 1
 
0.1%
3215 1
 
0.1%
3211 1
 
0.1%
Other values (1594) 1594
99.4%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
11 1
0.1%
ValueCountFrequency (%)
5623 1
0.1%
5606 1
0.1%
5605 1
0.1%
5602 1
0.1%
5597 1
0.1%
5593 1
0.1%
5591 1
0.1%
5590 1
0.1%
5588 1
0.1%
5576 1
0.1%

job_id
Real number (ℝ)

High correlation  Unique 

Distinct1604
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.471774 × 109
Minimum4.9722164 × 109
Maximum5.5360414 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2025-12-20T03:29:41.575713image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/

Quantile statistics

Minimum4.9722164 × 109
5-th percentile5.2976197 × 109
Q15.4543745 × 109
median5.5042422 × 109
Q35.5214772 × 109
95-th percentile5.5335967 × 109
Maximum5.5360414 × 109
Range5.6382499 × 108
Interquartile range (IQR)67102700

Descriptive statistics

Standard deviation80164924
Coefficient of variation (CV)0.014650628
Kurtosis5.2032571
Mean5.471774 × 109
Median Absolute Deviation (MAD)23751664
Skewness-2.1588238
Sum8.7767255 × 1012
Variance6.426415 × 1015
MonotonicityNot monotonic
2025-12-20T03:29:41.614170image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5532749858 1
 
0.1%
5501307291 1
 
0.1%
5500743886 1
 
0.1%
5500744516 1
 
0.1%
5500748380 1
 
0.1%
5500861965 1
 
0.1%
5500861967 1
 
0.1%
5500861959 1
 
0.1%
5500923255 1
 
0.1%
5501049334 1
 
0.1%
Other values (1594) 1594
99.4%
ValueCountFrequency (%)
4972216399 1
0.1%
5078270416 1
0.1%
5097567679 1
0.1%
5097567707 1
0.1%
5097567821 1
0.1%
5097567827 1
0.1%
5097567830 1
0.1%
5097567833 1
0.1%
5097567840 1
0.1%
5097567846 1
0.1%
ValueCountFrequency (%)
5536041391 1
0.1%
5536019999 1
0.1%
5535917740 1
0.1%
5535855667 1
0.1%
5535855664 1
0.1%
5535826890 1
0.1%
5535762725 1
0.1%
5535762714 1
0.1%
5535762708 1
0.1%
5535497459 1
0.1%
Distinct678
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
2025-12-20T03:29:41.740926image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/

Length

Max length74
Median length39
Mean length11.461347
Min length2

Characters and Unicode

Total characters18384
Distinct characters48
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique402 ?
Unique (%)25.1%

Sample

1st rowjohnson & johnson
2nd rowbjak
3rd rowhouse of hr
4th rowbv enersee
5th rowjohnson and johnson
ValueCountFrequency (%)
group 94
 
3.3%
79
 
2.8%
belgium 59
 
2.1%
johnson 40
 
1.4%
smals 36
 
1.3%
inc 33
 
1.2%
profile 33
 
1.2%
akkodis 30
 
1.1%
consulting 29
 
1.0%
hays 27
 
1.0%
Other values (886) 2377
83.8%
2025-12-20T03:29:41.901593image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1799
 
9.8%
a 1334
 
7.3%
i 1297
 
7.1%
o 1286
 
7.0%
1245
 
6.8%
n 1153
 
6.3%
r 1143
 
6.2%
s 1140
 
6.2%
t 1049
 
5.7%
l 922
 
5.0%
Other values (38) 6016
32.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 18384
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 1799
 
9.8%
a 1334
 
7.3%
i 1297
 
7.1%
o 1286
 
7.0%
1245
 
6.8%
n 1153
 
6.3%
r 1143
 
6.2%
s 1140
 
6.2%
t 1049
 
5.7%
l 922
 
5.0%
Other values (38) 6016
32.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 18384
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 1799
 
9.8%
a 1334
 
7.3%
i 1297
 
7.1%
o 1286
 
7.0%
1245
 
6.8%
n 1153
 
6.3%
r 1143
 
6.2%
s 1140
 
6.2%
t 1049
 
5.7%
l 922
 
5.0%
Other values (38) 6016
32.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 18384
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 1799
 
9.8%
a 1334
 
7.3%
i 1297
 
7.1%
o 1286
 
7.0%
1245
 
6.8%
n 1153
 
6.3%
r 1143
 
6.2%
s 1140
 
6.2%
t 1049
 
5.7%
l 922
 
5.0%
Other values (38) 6016
32.7%
Distinct140
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
2025-12-20T03:29:41.973053image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/

Length

Max length41
Median length6
Mean length11.005611
Min length4

Characters and Unicode

Total characters17653
Distinct characters32
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)4.2%

Sample

1st rowbelgië
2nd rowbelgië
3rd rowbelgië
4th rowantwerpen, antwerpen (provincie)
5th rowbeerse, turnhout
ValueCountFrequency (%)
belgië 1022
45.4%
brussel 237
 
10.5%
hoofdstad 157
 
7.0%
antwerpen 102
 
4.5%
halle-vilvoorde 53
 
2.4%
provincie 48
 
2.1%
gent 47
 
2.1%
luik 34
 
1.5%
mechelen 25
 
1.1%
turnhout 24
 
1.1%
Other values (142) 503
22.3%
2025-12-20T03:29:42.087749image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 2652
15.0%
l 1783
 
10.1%
i 1426
 
8.1%
b 1352
 
7.7%
g 1196
 
6.8%
ë 1022
 
5.8%
s 886
 
5.0%
r 814
 
4.6%
o 754
 
4.3%
n 706
 
4.0%
Other values (22) 5062
28.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 17653
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 2652
15.0%
l 1783
 
10.1%
i 1426
 
8.1%
b 1352
 
7.7%
g 1196
 
6.8%
ë 1022
 
5.8%
s 886
 
5.0%
r 814
 
4.6%
o 754
 
4.3%
n 706
 
4.0%
Other values (22) 5062
28.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 17653
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 2652
15.0%
l 1783
 
10.1%
i 1426
 
8.1%
b 1352
 
7.7%
g 1196
 
6.8%
ë 1022
 
5.8%
s 886
 
5.0%
r 814
 
4.6%
o 754
 
4.3%
n 706
 
4.0%
Other values (22) 5062
28.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 17653
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 2652
15.0%
l 1783
 
10.1%
i 1426
 
8.1%
b 1352
 
7.7%
g 1196
 
6.8%
ë 1022
 
5.8%
s 886
 
5.0%
r 814
 
4.6%
o 754
 
4.3%
n 706
 
4.0%
Other values (22) 5062
28.7%

title
Text

Distinct1174
Distinct (%)73.2%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
2025-12-20T03:29:42.189524image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/

Length

Max length116
Median length76
Mean length32.813591
Min length10

Characters and Unicode

Total characters52633
Distinct characters64
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique975 ?
Unique (%)60.8%

Sample

1st rowsr director, head of data science & digital health – therapeutics development & supply (tds)
2nd rowfounding ai engineer
3rd rowdata & ai engineer
4th rowdata engineer ai
5th rowsr director, head of data science & digital health – therapeutics development & supply (tds)
ValueCountFrequency (%)
engineer 681
 
9.5%
598
 
8.3%
data 567
 
7.9%
analyst 359
 
5.0%
senior 196
 
2.7%
business 142
 
2.0%
software 86
 
1.2%
manager 79
 
1.1%
ai 71
 
1.0%
consultant 56
 
0.8%
Other values (1123) 4355
60.6%
2025-12-20T03:29:42.337025image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 6233
11.8%
5589
10.6%
n 4833
 
9.2%
a 4643
 
8.8%
i 3841
 
7.3%
t 3775
 
7.2%
r 3204
 
6.1%
s 3049
 
5.8%
o 2169
 
4.1%
l 1889
 
3.6%
Other values (54) 13408
25.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 52633
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 6233
11.8%
5589
10.6%
n 4833
 
9.2%
a 4643
 
8.8%
i 3841
 
7.3%
t 3775
 
7.2%
r 3204
 
6.1%
s 3049
 
5.8%
o 2169
 
4.1%
l 1889
 
3.6%
Other values (54) 13408
25.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 52633
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 6233
11.8%
5589
10.6%
n 4833
 
9.2%
a 4643
 
8.8%
i 3841
 
7.3%
t 3775
 
7.2%
r 3204
 
6.1%
s 3049
 
5.8%
o 2169
 
4.1%
l 1889
 
3.6%
Other values (54) 13408
25.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 52633
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 6233
11.8%
5589
10.6%
n 4833
 
9.2%
a 4643
 
8.8%
i 3841
 
7.3%
t 3775
 
7.2%
r 3204
 
6.1%
s 3049
 
5.8%
o 2169
 
4.1%
l 1889
 
3.6%
Other values (54) 13408
25.5%

latitude
Real number (ℝ)

Missing 

Distinct160
Distinct (%)29.8%
Missing1067
Missing (%)66.5%
Infinite0
Infinite (%)0.0%
Mean50.914869
Minimum50.29657
Maximum51.46467
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2025-12-20T03:29:42.376134image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/

Quantile statistics

Minimum50.29657
5-th percentile50.45333
Q150.84674
median50.87927
Q351.05401
95-th percentile51.227912
Maximum51.46467
Range1.1681
Interquartile range (IQR)0.20727

Descriptive statistics

Standard deviation0.21066238
Coefficient of variation (CV)0.0041375415
Kurtosis0.52124757
Mean50.914869
Median Absolute Deviation (MAD)0.07592
Skewness-0.4125858
Sum27341.284
Variance0.04437864
MonotonicityNot monotonic
2025-12-20T03:29:42.420055image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.84674 68
 
4.2%
51.05401 29
 
1.8%
51.219728 21
 
1.3%
51.02892 18
 
1.1%
51.31981 14
 
0.9%
50.87123 11
 
0.7%
50.87927 11
 
0.7%
50.87924 11
 
0.7%
50.83662 10
 
0.6%
50.82768 9
 
0.6%
Other values (150) 335
 
20.9%
(Missing) 1067
66.5%
ValueCountFrequency (%)
50.29657 1
 
0.1%
50.30437 1
 
0.1%
50.33731 1
 
0.1%
50.37895 1
 
0.1%
50.383773 1
 
0.1%
50.38962 1
 
0.1%
50.40735 1
 
0.1%
50.40762 1
 
0.1%
50.41146 7
0.4%
50.42365 2
 
0.1%
ValueCountFrequency (%)
51.46467 1
 
0.1%
51.32021 1
 
0.1%
51.31981 14
0.9%
51.27515 2
 
0.1%
51.260742 2
 
0.1%
51.24214 3
 
0.2%
51.23484 1
 
0.1%
51.22852 3
 
0.2%
51.22776 2
 
0.1%
51.226069 2
 
0.1%

longitude
Real number (ℝ)

Missing 

Distinct161
Distinct (%)30.0%
Missing1067
Missing (%)66.5%
Infinite0
Infinite (%)0.0%
Mean4.3379176
Minimum2.6548
Maximum5.9333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2025-12-20T03:29:42.645077image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/

Quantile statistics

Minimum2.6548
5-th percentile3.26503
Q14.24526
median4.37178
Q34.47807
95-th percentile5.3137044
Maximum5.9333
Range3.2785
Interquartile range (IQR)0.23281

Descriptive statistics

Standard deviation0.54864259
Coefficient of variation (CV)0.12647603
Kurtosis0.65226732
Mean4.3379176
Median Absolute Deviation (MAD)0.10792
Skewness-0.20296353
Sum2329.4617
Variance0.30100869
MonotonicityNot monotonic
2025-12-20T03:29:42.685301image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.35249 68
 
4.2%
3.7217 29
 
1.8%
4.402905 21
 
1.3%
4.47807 18
 
1.1%
4.85645 14
 
0.9%
4.40018 11
 
0.7%
4.50422 11
 
0.7%
4.70214 11
 
0.7%
4.47013 9
 
0.6%
3.94874 9
 
0.6%
Other values (151) 336
 
20.9%
(Missing) 1067
66.5%
ValueCountFrequency (%)
2.6548 1
0.1%
2.79988 1
0.1%
2.91337 1
0.1%
2.929404 1
0.1%
2.97594 2
0.1%
2.97731 1
0.1%
3.01186 1
0.1%
3.08155 1
0.1%
3.10099 1
0.1%
3.11693 1
0.1%
ValueCountFrequency (%)
5.9333 1
 
0.1%
5.63088 1
 
0.1%
5.603567 6
0.4%
5.51803 1
 
0.1%
5.50013 3
0.2%
5.50003 3
0.2%
5.42546 1
 
0.1%
5.41955 1
 
0.1%
5.41472 1
 
0.1%
5.40469 1
 
0.1%

redirect_url
Text

Unique 

Distinct1604
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
2025-12-20T03:29:42.852054image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/

Length

Max length144
Median length75
Mean length84.076683
Min length75

Characters and Unicode

Total characters134859
Distinct characters44
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1604 ?
Unique (%)100.0%

Sample

1st rowhttps://www.adzuna.be/details/5532749858?utm_medium=api&utm_source=64e51cf1
2nd rowhttps://www.adzuna.be/details/5532749786?utm_medium=api&utm_source=64e51cf1
3rd rowhttps://www.adzuna.be/details/5532129711?utm_medium=api&utm_source=64e51cf1
4th rowhttps://www.adzuna.be/details/5531941061?utm_medium=api&utm_source=64e51cf1
5th rowhttps://www.adzuna.be/details/5531806375?utm_medium=api&utm_source=64e51cf1
ValueCountFrequency (%)
https://www.adzuna.be/details/5532749858?utm_medium=api&utm_source=64e51cf1 1
 
0.1%
https://www.adzuna.be/details/5519817049?utm_medium=api&utm_source=64e51cf1 1
 
0.1%
https://www.adzuna.be/details/5532129711?utm_medium=api&utm_source=64e51cf1 1
 
0.1%
https://www.adzuna.be/details/5531941061?utm_medium=api&utm_source=64e51cf1 1
 
0.1%
https://www.adzuna.be/details/5531806375?utm_medium=api&utm_source=64e51cf1 1
 
0.1%
https://www.adzuna.be/details/5530551511?utm_medium=api&utm_source=64e51cf1 1
 
0.1%
https://www.adzuna.be/details/5530550318?utm_medium=api&utm_source=64e51cf1 1
 
0.1%
https://www.adzuna.be/details/5527348200?utm_medium=api&utm_source=64e51cf1 1
 
0.1%
https://www.adzuna.be/details/5525626885?utm_medium=api&utm_source=64e51cf1 1
 
0.1%
https://www.adzuna.be/details/5525456331?utm_medium=api&utm_source=64e51cf1 1
 
0.1%
Other values (1594) 1594
99.4%
2025-12-20T03:29:43.041162image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 8651
 
6.4%
u 8155
 
6.0%
t 7891
 
5.9%
a 7402
 
5.5%
m 6757
 
5.0%
/ 6627
 
4.9%
5 6034
 
4.5%
d 5888
 
4.4%
1 5237
 
3.9%
s 4961
 
3.7%
Other values (34) 67256
49.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 134859
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 8651
 
6.4%
u 8155
 
6.0%
t 7891
 
5.9%
a 7402
 
5.5%
m 6757
 
5.0%
/ 6627
 
4.9%
5 6034
 
4.5%
d 5888
 
4.4%
1 5237
 
3.9%
s 4961
 
3.7%
Other values (34) 67256
49.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 134859
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 8651
 
6.4%
u 8155
 
6.0%
t 7891
 
5.9%
a 7402
 
5.5%
m 6757
 
5.0%
/ 6627
 
4.9%
5 6034
 
4.5%
d 5888
 
4.4%
1 5237
 
3.9%
s 4961
 
3.7%
Other values (34) 67256
49.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 134859
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 8651
 
6.4%
u 8155
 
6.0%
t 7891
 
5.9%
a 7402
 
5.5%
m 6757
 
5.0%
/ 6627
 
4.9%
5 6034
 
4.5%
d 5888
 
4.4%
1 5237
 
3.9%
s 4961
 
3.7%
Other values (34) 67256
49.9%
Distinct1329
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
2025-12-20T03:29:43.137888image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/

Length

Max length500
Median length500
Mean length499.85786
Min length341

Characters and Unicode

Total characters801772
Distinct characters108
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1223 ?
Unique (%)76.2%

Sample

1st rowat johnson & johnson, we believe health is everything. our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. through our expertise in innovative medicine and medtech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. learn …
2nd rowtransform language models into real-world, high-impact product experiences. a1 is a self-funded ai group, operating in full stealth. we’re building a new global consumer ai application focused on an important but underexplored use case. you will shape the core technical direction of a1 - model selection, training strategy, infrastructure, and long-term architecture. this is a founding technical role: your decisions will define our model stack, our data strategy, and our product capabilities for…
3rd rowabout our team the data & ai team plays a central, scaling role , supporting the entire house of hr portfolio. we are expanding and looking for an extra engineer to strengthen our capabilities in two core areas: building, deploying, and operationalizing ai products we partner directly with our powerhouses' ai champions and field staff to understand their needs and determine how ai systems can help them go harder, better, faster, and stronger . design: we architect end-to-end ai systems that de…
4th rowenersee is growing fast. we’re scaling to the next phase and building the data backbone that powers our ai-driven energy efficiency platform. to make that happen, we need you! looking to use ai & data for impact? we’re looking for an data engineer ai who thrives at the intersection of algorithms, data pipelines, and real-world problem solving. you’ll make sure our platform runs on clean, consistent, and scalable data flows—while also developing innovative ai models that turn raw data into actio…
5th rowat johnson & johnson, we believe health is everything. our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. through our expertise in innovative medicine and medtech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. learn …
ValueCountFrequency (%)
and 3672
 
3.1%
the 2505
 
2.1%
in 2304
 
1.9%
a 1960
 
1.6%
to 1948
 
1.6%
en 1735
 
1.4%
of 1652
 
1.4%
de 1583
 
1.3%
data 1559
 
1.3%
1518
 
1.3%
Other values (11432) 99393
82.9%
2025-12-20T03:29:43.266842image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
118413
14.8%
e 89093
11.1%
n 58419
 
7.3%
a 53165
 
6.6%
i 53063
 
6.6%
t 52527
 
6.6%
o 47537
 
5.9%
r 42788
 
5.3%
s 40774
 
5.1%
l 29069
 
3.6%
Other values (98) 216924
27.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 801772
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
118413
14.8%
e 89093
11.1%
n 58419
 
7.3%
a 53165
 
6.6%
i 53063
 
6.6%
t 52527
 
6.6%
o 47537
 
5.9%
r 42788
 
5.3%
s 40774
 
5.1%
l 29069
 
3.6%
Other values (98) 216924
27.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 801772
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
118413
14.8%
e 89093
11.1%
n 58419
 
7.3%
a 53165
 
6.6%
i 53063
 
6.6%
t 52527
 
6.6%
o 47537
 
5.9%
r 42788
 
5.3%
s 40774
 
5.1%
l 29069
 
3.6%
Other values (98) 216924
27.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 801772
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
118413
14.8%
e 89093
11.1%
n 58419
 
7.3%
a 53165
 
6.6%
i 53063
 
6.6%
t 52527
 
6.6%
o 47537
 
5.9%
r 42788
 
5.3%
s 40774
 
5.1%
l 29069
 
3.6%
Other values (98) 216924
27.1%

category_tag
Categorical

Distinct25
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
unknown
946 
it-jobs
222 
other-general-jobs
 
76
consultancy-jobs
 
58
engineering-jobs
 
54
Other values (20)
248 

Length

Max length29
Median length7
Mean length10.031796
Min length7

Characters and Unicode

Total characters16091
Distinct characters25
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.2%

Sample

1st rowunknown
2nd rowit-jobs
3rd rowunknown
4th rowenergy-oil-gas-jobs
5th rowpr-advertising-marketing-jobs

Common Values

ValueCountFrequency (%)
unknown 946
59.0%
it-jobs 222
 
13.8%
other-general-jobs 76
 
4.7%
consultancy-jobs 58
 
3.6%
engineering-jobs 54
 
3.4%
accounting-finance-jobs 53
 
3.3%
hr-jobs 31
 
1.9%
scientific-qa-jobs 27
 
1.7%
manufacturing-jobs 25
 
1.6%
pr-advertising-marketing-jobs 22
 
1.4%
Other values (15) 90
 
5.6%

Length

2025-12-20T03:29:43.302104image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
unknown 946
59.0%
it-jobs 222
 
13.8%
other-general-jobs 76
 
4.7%
consultancy-jobs 58
 
3.6%
engineering-jobs 54
 
3.4%
accounting-finance-jobs 53
 
3.3%
hr-jobs 31
 
1.9%
scientific-qa-jobs 27
 
1.7%
manufacturing-jobs 25
 
1.6%
pr-advertising-marketing-jobs 22
 
1.4%
Other values (15) 90
 
5.6%

Most occurring characters

ValueCountFrequency (%)
n 3591
22.3%
o 1860
11.6%
u 1149
 
7.1%
k 969
 
6.0%
w 956
 
5.9%
- 933
 
5.8%
s 900
 
5.6%
i 725
 
4.5%
e 683
 
4.2%
b 658
 
4.1%
Other values (15) 3667
22.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 16091
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 3591
22.3%
o 1860
11.6%
u 1149
 
7.1%
k 969
 
6.0%
w 956
 
5.9%
- 933
 
5.8%
s 900
 
5.6%
i 725
 
4.5%
e 683
 
4.2%
b 658
 
4.1%
Other values (15) 3667
22.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 16091
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 3591
22.3%
o 1860
11.6%
u 1149
 
7.1%
k 969
 
6.0%
w 956
 
5.9%
- 933
 
5.8%
s 900
 
5.6%
i 725
 
4.5%
e 683
 
4.2%
b 658
 
4.1%
Other values (15) 3667
22.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 16091
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 3591
22.3%
o 1860
11.6%
u 1149
 
7.1%
k 969
 
6.0%
w 956
 
5.9%
- 933
 
5.8%
s 900
 
5.6%
i 725
 
4.5%
e 683
 
4.2%
b 658
 
4.1%
Other values (15) 3667
22.8%

contract_time
Categorical

Constant  Missing 

Distinct1
Distinct (%)0.3%
Missing1251
Missing (%)78.0%
Memory size12.7 KiB
full_time
353 

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters3177
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowfull_time
2nd rowfull_time
3rd rowfull_time
4th rowfull_time
5th rowfull_time

Common Values

ValueCountFrequency (%)
full_time 353
 
22.0%
(Missing) 1251
78.0%

Length

2025-12-20T03:29:43.342572image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-12-20T03:29:43.372610image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
ValueCountFrequency (%)
full_time 353
100.0%

Most occurring characters

ValueCountFrequency (%)
l 706
22.2%
f 353
11.1%
u 353
11.1%
_ 353
11.1%
t 353
11.1%
i 353
11.1%
m 353
11.1%
e 353
11.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3177
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
l 706
22.2%
f 353
11.1%
u 353
11.1%
_ 353
11.1%
t 353
11.1%
i 353
11.1%
m 353
11.1%
e 353
11.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3177
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
l 706
22.2%
f 353
11.1%
u 353
11.1%
_ 353
11.1%
t 353
11.1%
i 353
11.1%
m 353
11.1%
e 353
11.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3177
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
l 706
22.2%
f 353
11.1%
u 353
11.1%
_ 353
11.1%
t 353
11.1%
i 353
11.1%
m 353
11.1%
e 353
11.1%
Distinct1320
Distinct (%)82.3%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
Minimum2024-12-11 18:06:39+00:00
Maximum2025-12-10 11:26:33+00:00
Invalid dates0
Invalid dates (%)0.0%
2025-12-20T03:29:43.402162image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
2025-12-20T03:29:43.453676image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct677
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
2025-12-20T03:29:43.551901image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/

Length

Max length74
Median length39
Mean length11.55985
Min length2

Characters and Unicode

Total characters18542
Distinct characters47
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique402 ?
Unique (%)25.1%

Sample

1st rowjohnson_and_johnson
2nd rowbjak
3rd rowhouse_of_hr
4th rowbv_enersee
5th rowjohnson_and_johnson
ValueCountFrequency (%)
smals 36
 
2.2%
profile_group 33
 
2.1%
akkodis 30
 
1.9%
hays 27
 
1.7%
johnson_and_johnson 20
 
1.2%
aether 15
 
0.9%
lighthouse 15
 
0.9%
sia 15
 
0.9%
vivid_resourcing 15
 
0.9%
le_forem 14
 
0.9%
Other values (667) 1384
86.3%
2025-12-20T03:29:43.691693image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1799
 
9.7%
a 1413
 
7.6%
i 1297
 
7.0%
o 1286
 
6.9%
_ 1245
 
6.7%
n 1232
 
6.6%
r 1143
 
6.2%
s 1140
 
6.1%
t 1049
 
5.7%
l 922
 
5.0%
Other values (37) 6016
32.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 18542
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 1799
 
9.7%
a 1413
 
7.6%
i 1297
 
7.0%
o 1286
 
6.9%
_ 1245
 
6.7%
n 1232
 
6.6%
r 1143
 
6.2%
s 1140
 
6.1%
t 1049
 
5.7%
l 922
 
5.0%
Other values (37) 6016
32.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 18542
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 1799
 
9.7%
a 1413
 
7.6%
i 1297
 
7.0%
o 1286
 
6.9%
_ 1245
 
6.7%
n 1232
 
6.6%
r 1143
 
6.2%
s 1140
 
6.1%
t 1049
 
5.7%
l 922
 
5.0%
Other values (37) 6016
32.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 18542
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 1799
 
9.7%
a 1413
 
7.6%
i 1297
 
7.0%
o 1286
 
6.9%
_ 1245
 
6.7%
n 1232
 
6.6%
r 1143
 
6.2%
s 1140
 
6.1%
t 1049
 
5.7%
l 922
 
5.0%
Other values (37) 6016
32.4%

token_count_description
Real number (ℝ)

Distinct58
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.745636
Minimum62
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2025-12-20T03:29:43.730499image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/

Quantile statistics

Minimum62
5-th percentile82
Q190
median96
Q3104
95-th percentile112
Maximum128
Range66
Interquartile range (IQR)14

Descriptive statistics

Standard deviation9.5903693
Coefficient of variation (CV)0.099129736
Kurtosis-0.15443606
Mean96.745636
Median Absolute Deviation (MAD)7
Skewness0.14045119
Sum155180
Variance91.975184
MonotonicityNot monotonic
2025-12-20T03:29:43.770589image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96 89
 
5.5%
91 74
 
4.6%
94 72
 
4.5%
101 69
 
4.3%
93 68
 
4.2%
97 65
 
4.1%
88 64
 
4.0%
92 60
 
3.7%
106 59
 
3.7%
95 58
 
3.6%
Other values (48) 926
57.7%
ValueCountFrequency (%)
62 1
 
0.1%
70 2
 
0.1%
72 1
 
0.1%
73 4
 
0.2%
74 3
 
0.2%
75 3
 
0.2%
76 6
 
0.4%
77 7
0.4%
78 6
 
0.4%
79 16
1.0%
ValueCountFrequency (%)
128 1
 
0.1%
126 1
 
0.1%
125 1
 
0.1%
124 1
 
0.1%
123 1
 
0.1%
122 2
 
0.1%
121 6
0.4%
120 11
0.7%
119 3
 
0.2%
118 7
0.4%

Interactions

2025-12-20T03:29:41.141271image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
2025-12-20T03:29:40.306913image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
2025-12-20T03:29:40.500682image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
2025-12-20T03:29:40.829996image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
2025-12-20T03:29:40.983103image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
2025-12-20T03:29:41.176283image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
2025-12-20T03:29:40.352057image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
2025-12-20T03:29:40.539705image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
2025-12-20T03:29:40.859346image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
2025-12-20T03:29:41.013731image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
2025-12-20T03:29:41.210283image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
2025-12-20T03:29:40.386848image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
2025-12-20T03:29:40.574551image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
2025-12-20T03:29:40.890636image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
2025-12-20T03:29:41.045854image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
2025-12-20T03:29:41.240645image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
2025-12-20T03:29:40.424705image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
2025-12-20T03:29:40.606267image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
2025-12-20T03:29:40.919491image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
2025-12-20T03:29:41.076722image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
2025-12-20T03:29:41.274224image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
2025-12-20T03:29:40.464537image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
2025-12-20T03:29:40.637696image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
2025-12-20T03:29:40.950966image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
2025-12-20T03:29:41.108007image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/

Correlations

2025-12-20T03:29:43.800539image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
category_tagidjob_idlatitudelongitudetoken_count_description
category_tag1.0000.1190.0000.0860.1220.000
id0.1191.000-0.556-0.004-0.035-0.066
job_id0.000-0.5561.000-0.0390.085-0.036
latitude0.086-0.004-0.0391.000-0.0130.091
longitude0.122-0.0350.085-0.0131.000-0.087
token_count_description0.000-0.066-0.0360.091-0.0871.000

Missing values

2025-12-20T03:29:41.327029image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
A simple visualization of nullity by column.
2025-12-20T03:29:41.372162image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-12-20T03:29:41.425678image/svg+xmlMatplotlib v3.10.8, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

idjob_idcompany_display_namelocationtitlelatitudelongituderedirect_urldescriptioncategory_tagcontract_timecreatedcompany_name_cleantoken_count_description
015532749858johnson & johnsonbelgiësr director, head of data science & digital health – therapeutics development & supply (tds)NaNNaNhttps://www.adzuna.be/details/5532749858?utm_medium=api&utm_source=64e51cf1at johnson & johnson, we believe health is everything. our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. through our expertise in innovative medicine and medtech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. learn …unknownfull_time2025-12-07t21:14:34zjohnson_and_johnson88
125532749786bjakbelgiëfounding ai engineerNaNNaNhttps://www.adzuna.be/details/5532749786?utm_medium=api&utm_source=64e51cf1transform language models into real-world, high-impact product experiences. a1 is a self-funded ai group, operating in full stealth. we’re building a new global consumer ai application focused on an important but underexplored use case. you will shape the core technical direction of a1 - model selection, training strategy, infrastructure, and long-term architecture. this is a founding technical role: your decisions will define our model stack, our data strategy, and our product capabilities for…it-jobsfull_time2025-12-07t21:14:31zbjak95
235532129711house of hrbelgiëdata & ai engineerNaNNaNhttps://www.adzuna.be/details/5532129711?utm_medium=api&utm_source=64e51cf1about our team the data & ai team plays a central, scaling role , supporting the entire house of hr portfolio. we are expanding and looking for an extra engineer to strengthen our capabilities in two core areas: building, deploying, and operationalizing ai products we partner directly with our powerhouses' ai champions and field staff to understand their needs and determine how ai systems can help them go harder, better, faster, and stronger . design: we architect end-to-end ai systems that de…unknownNaN2025-12-07t06:47:39zhouse_of_hr98
345531941061bv enerseeantwerpen, antwerpen (provincie)data engineer aiNaNNaNhttps://www.adzuna.be/details/5531941061?utm_medium=api&utm_source=64e51cf1enersee is growing fast. we’re scaling to the next phase and building the data backbone that powers our ai-driven energy efficiency platform. to make that happen, we need you! looking to use ai & data for impact? we’re looking for an data engineer ai who thrives at the intersection of algorithms, data pipelines, and real-world problem solving. you’ll make sure our platform runs on clean, consistent, and scalable data flows—while also developing innovative ai models that turn raw data into actio…energy-oil-gas-jobsNaN2025-12-07t01:26:45zbv_enersee101
465531806375johnson and johnsonbeerse, turnhoutsr director, head of data science & digital health – therapeutics development & supply (tds)51.319814.85645https://www.adzuna.be/details/5531806375?utm_medium=api&utm_source=64e51cf1at johnson & johnson, we believe health is everything. our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. through our expertise in innovative medicine and medtech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. learn …pr-advertising-marketing-jobsfull_time2025-12-06t23:48:43zjohnson_and_johnson88
575530551511advancing people recruitmentbelgiëai python engineerNaNNaNhttps://www.adzuna.be/details/5530551511?utm_medium=api&utm_source=64e51cf1are you an experienced python engineer with exposure to ai looking for a new exciting permanent role? do you live within a commutable distance of brussels - working 2 days per week in the office? if so, our rapidly expanding software client is keen to hear from you! salary : 60,000 - 67,000 euros per year plus 6,000 - 8,000 euros per year bonus. the role: you will work in the product team that builds my clients flagship solution, which combines low-code development, process automation (rpa), in…unknownNaN2025-12-06t05:06:29zadvancing_people_recruitment115
685530550318brayton globalbelgiëexpert in ai/nlp/ml (ai/nlp/ml) lvl 9NaNNaNhttps://www.adzuna.be/details/5530550318?utm_medium=api&utm_source=64e51cf1description of the tasks design, implement and maintain a scalable, reliable and secure hybrid cloud ml ops infrastructure to deploy, test, manage and monitor ml models in different environments; development and maintenance of software applications in the field of natural language processing (nlp), machine learning (ml), deep learning (dl) and/or artificial intelligence (ai); work closely with data scientists and back-end developers to build, test, integrate and deploy ml models; analyse perfor…unknownNaN2025-12-06t05:02:57zbrayton_global91
795527348200koda staffbelgiënlp engineer / conversational ai engineerNaNNaNhttps://www.adzuna.be/details/5527348200?utm_medium=api&utm_source=64e51cf1we’re partnering with a rapidly growing ai & digital consulting company based in brussels, and they’re looking for a talented nlp engineer / conversational ai engineer to join their expanding team. key responsibilities: develop and deploy production-ready nlp and conversational ai pipelines using python and modern ml/nlp frameworks. design and fine-tune llms, classification models, extraction systems, and multilingual nlp solutions. collaborate with clients to understand business needs and tran…unknownNaN2025-12-04t16:47:48zkoda_staff90
8105525626885mindriftbelgiëfreelance ai red team engineerNaNNaNhttps://www.adzuna.be/details/5525626885?utm_medium=api&utm_source=64e51cf1this opportunity is only for candidates currently residing in the specified country. your location may affect eligibility and rates. please submit your resume in english and indicate your level of english proficiency. at mindrift , innovation meets opportunity. we believe in using the power of collective intelligence to ethically shape the future of ai. what we do the mindrift platform connects specialists with ai projects from major tech innovators. our mission is to unlock the potential of ge…other-general-jobsNaN2025-12-03t13:27:25zmindrift87
9115525456331oakwell hampton groupbelgiëai engineerNaNNaNhttps://www.adzuna.be/details/5525456331?utm_medium=api&utm_source=64e51cf1ai engineer – shape the future of intelligent tech location: ghent/mechelen (hybrid) contract: full-time language requirement: dutch - professional level ready to build cutting-edge ai solutions that make a real impact? our client, a fast-growing consultancy partnered with microsoft and databricks , is looking for a passionate ai engineer to bring ground breaking ideas to life. you’ll be at the forefront of innovation, developing next-level ai applications for a wide variety of clients - no two…unknownNaN2025-12-03t09:27:10zoakwell_hampton_group99
idjob_idcompany_display_namelocationtitlelatitudelongituderedirect_urldescriptioncategory_tagcontract_timecreatedcompany_name_cleantoken_count_description
159455695208221076dataroots, a talan companybelgiëdata governance expertNaNNaNhttps://www.adzuna.be/details/5208221076?utm_medium=api&utm_source=64e51cf1the job as an experienced data governance expert with a deep understanding of data governance concepts and their practical implementation in data governance tools., you will work closely on a daily basis with our clients to establish and maintain effective data governance processes and policies. you will assist in the implementation of data governance tools and platforms. next to this, you are passionate about the topic and eager to support colleagues implementing modern data platforms and ai …unknownNaN2025-05-21t01:00:47zdataroots,_a_talan_company82
159555765207155636maandaggeel, turnhoutqc engineer51.162334.99085https://www.adzuna.be/details/5207155636?utm_medium=api&utm_source=64e51cf1over de functie als qc engineer ligt jouw focus op equipmentvalidatie, analytische methodes en werken volgens de kwaliteitsnormen binnen een gmp-omgeving. in deze rol werk je actief mee aan de validatie van analytische apparatuur en methodes. je hebt een grondige kennis van hplc en gc en voert zelfstandig analyses uit op grondstoffen met technieken zoals ftir, raman, spectrofotometrie, refractometrie en densitometrie. je bent vertrouwd met de vereisten uit ph. eur, usp en jp, en weet hoe deze t…unknownNaN2025-05-20t09:45:29zmaandag119
159655885198059605deloitte belgiumsteenokkerzeel, halle-vilvoordeinternship data & analytics - academic year 2025-202650.879244.50422https://www.adzuna.be/details/5198059605?utm_medium=api&utm_source=64e51cf1your story can’t wait to make an impact on the world? you’re not alone. join us in driving progress in the working world and beyond. your journey with us join us and you’ll be immersed in a dynamic company where you’ll work with a diverse group of talented colleagues on a variety of exciting projects. you’ll be inspired and learn every day, exploring many different industries and collaborating with our clients, ranging from large national to multinational companies to non-profit and public sect…scientific-qa-jobsNaN2025-05-14t14:41:54zdeloitte_belgium96
159755905196487165egov selectbrussel, brussel hoofdstadegov select - technical analyst50.846744.35249https://www.adzuna.be/land/ad/5196487165?se=xdfgzchv8bgormokdu-cda&utm_medium=api&utm_source=64e51cf1&v=a4c0cd27e7c141b0913bb2e68b77cede3a6ebd28werkomgeving ben je op zoek naar een uitdagende it-functie als technisch analist waarbij je zowel je technische competenties als je praktische ingesteldheid kan gebruiken? wens je te werken binnen een dynamische technologische omgeving? dan is werken bij de fod financiën via egov select zeker iets voor jou! bij ons kan je meebouwen aan projecten die het leven van elke belastingplichtige aangenamer maken. met - 1350 personen bij ict proberen wij elke dag het verschil te maken. elk met hun unieke…it-jobsNaN2025-05-13t17:53:02zegov_select106
159855915196360473le grand & associatessint-martens-latem, gentstagiair office & data support51.021383.66887https://www.adzuna.be/details/5196360473?utm_medium=api&utm_source=64e51cf1bedrijfsinformatie wil jij jezelf ontwikkelen binnen een dynamisch rekruteringskantoor dat gespecialiseerd is in het vinden van talent binnen engineering, it, finance, legal en hr? lga hr group biedt jou de kans om deel uit te maken van een jong & enthousiast team in ons moderne kantoor in sint-denijs-westrem, vlot bereikbaar vanuit gent. dit jaar vieren we ons 10-jarig bestaan – een perfect moment om samen met jou nieuwe stappen te zetten! beschrijving van de baan wat ga jij doen? in deze stag…admin-jobsNaN2025-05-13t14:41:40zle_grand_and_associates111
159955935195206035it labsbelgiësoftware development engineer in test (sdet)NaNNaNhttps://www.adzuna.be/details/5195206035?utm_medium=api&utm_source=64e51cf1our client is a top-tier data solutions company helping organizations turn data into a strategic asset. with over 1,000 experts worldwide and a thriving team of 60 in czechia, they’re redefining how businesses manage, trust, and use their data. you'll be part of an english-speaking, dynamic, and collaborative team that delivers impactful projects using modern technologies—all in an environment that values innovation, quality, and growth. as a software development engineer in test (sdet) , you w…other-general-jobsfull_time2025-05-12t20:45:17zit_labs101
160056025188352311scholt energywaregem, kortrijksales engineer sustainability50.886503.43209https://www.adzuna.be/details/5188352311?utm_medium=api&utm_source=64e51cf1job description ben jij analytisch sterk, heb je interesse in innovatieve techniek én ben je commercieel ingesteld? wil jij actief bijdragen aan een duurzamere toekomst en bedrijven helpen bij het realiseren van hun energieambities? als sales engineer duurzaamheid (renewables & flexibility) bij scholt energy speel je een cruciale rol in het adviseren van klanten over slimme energieoplossingen. je bent de schakel tussen onze technische experts en commerciële teams en vertaalt zo complexe vraagst…unknownfull_time2025-05-08t12:57:25zscholt_energy95
160156055182976624agad technologybelgiësenior fullstack software engineer (.net / azure / angularNaNNaNhttps://www.adzuna.be/details/5182976624?utm_medium=api&utm_source=64e51cf1job description we're hiring: senior fullstack software engineer (.net / azure / angular) location: hybrid (50% onsite in ghent, belgium ) start date: 12 may 2025 | contract duration: until july 2027 join a long-term project supporting digital transformation within the public sector . we’re seeking a seasoned fullstack engineer to build and scale distributed systems that ensure the quality of structured, high-impact data for public services. this role blends backend, frontend, and cloud engin…other-general-jobsfull_time2025-05-06t13:58:29zagad_technology104
160256065182906536akkodisbelgiëqc analystNaNNaNhttps://www.adzuna.be/details/5182906536?utm_medium=api&utm_source=64e51cf1general information category operations - engineering/production job title qc analyst contract permanent contract type of mobility localisation job description role overview the qc analyst is an exempt level position with responsibilities for performing qc testing related to the manufacturing of cell therapy products for clinical trials and commercial operations in a controlled gmp environment. major responsibilities: responsible for the completion of qc testing related to the manufacturing of …unknownfull_time2025-05-06t12:54:36zakkodis74
160356235170802953infrabelanderlecht, brussel hoofdstadstage - business analyst power bi - bachelor/master50.836624.30697https://www.adzuna.be/details/5170802953?utm_medium=api&utm_source=64e51cf1heb je een passie voor data ? dan is infrabel misschien wel iets voor jou! in het kader van de rapporteringsactiviteiten binnen de cel " performance & data " bieden we graag een stage aan. als business analyst power bi sta je in voor bedrijfsanalyse en rapportage. jouw stage omvat: het ondersteunen in het ontwikkelen van een power bi dashboard bij bedrijf-gerelateerde onderwerpen. het ondersteunen bij het bewaken van de kwaliteit van de gegevens en het verslag en het opstellen van de bijbehoren…customer-services-jobsNaN2025-04-30t18:51:36zinfrabel101